Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection.
PLoS Pathog
; 17(7): e1009759, 2021 07.
Article
in English
| MEDLINE | ID: covidwho-1329138
ABSTRACT
The host response to SARS-CoV-2 infection provide insights into both viral pathogenesis and patient management. The host-encoded microRNA (miRNA) response to SARS-CoV-2 infection, however, remains poorly defined. Here we profiled circulating miRNAs from ten COVID-19 patients sampled longitudinally and ten age and gender matched healthy donors. We observed 55 miRNAs that were altered in COVID-19 patients during early-stage disease, with the inflammatory miR-31-5p the most strongly upregulated. Supervised machine learning analysis revealed that a three-miRNA signature (miR-423-5p, miR-23a-3p and miR-195-5p) independently classified COVID-19 cases with an accuracy of 99.9%. In a ferret COVID-19 model, the three-miRNA signature again detected SARS-CoV-2 infection with 99.7% accuracy, and distinguished SARS-CoV-2 infection from influenza A (H1N1) infection and healthy controls with 95% accuracy. Distinct miRNA profiles were also observed in COVID-19 patients requiring oxygenation. This study demonstrates that SARS-CoV-2 infection induces a robust host miRNA response that could improve COVID-19 detection and patient management.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
MicroRNAs
/
COVID-19 Testing
/
SARS-CoV-2
/
COVID-19
Type of study:
Cohort study
/
Diagnostic study
/
Observational study
/
Prognostic study
Limits:
Adult
/
Aged
/
Animals
/
Female
/
Humans
/
Male
/
Middle aged
Language:
English
Journal:
PLoS Pathog
Year:
2021
Document Type:
Article
Affiliation country:
Journal.ppat.1009759
Similar
MEDLINE
...
LILACS
LIS